Accurate identification of snoRNA targets using variational graph autoencoder to advance the redevelopment of traditional medicines

Existing studies indicate that dysregulation or abnormal expression of small nucleolar RNA (snoRNA) is closely associated with various diseases, including lung cancer. Furthermore, these diseases often involve multiple targets, making the redevelopment of traditional medicines highly promising. Accu...

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Vydáno v:	Frontiers in pharmacology Ročník 15; s. 1529128
Hlavní autoři:	Wang, Zhina, Chen, Yangyuan, Ma, Hongming, Gao, Hong, Zhu, Yangbin, Wang, Hongwu, Zhang, Nan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 06.01.2025
Témata:	artificial intelligence (AI) lung cancer Pharmacology redevelopment of traditional medicines snoRNA therapeutic targets variational graph autoencoder (VGAE) lung cancer snoRNA therapeutic targets redevelopment of traditional medicines artificial intelligence (AI) variational graph autoencoder (VGAE)
ISSN:	1663-9812, 1663-9812
On-line přístup:	Získat plný text
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